Evidence map›Paper›PMID 20171553›Full record

ReviewInfectious disease clinics of North America2010

Swine Influenza (H1N1) pneumonia: clinical considerations.

Burke A Cunha

Abstract readReview
In one paragraph

Review in Infectious disease clinics of North America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Review
  2. Review
  3. New endemic and pandemic pathologies with interhuman airborne transmission through ear, nose and throat anatomical sites.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2022
    Article
  4. HD-13 Induces Swine Pneumonia Progression via Activation of TLR9.Computational and mathematical methods in medicine · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Non-specific laboratory test indicators of severity in hospitalized adults with swine influenza (H1N1) pneumonia.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2010
    Article
  19. Extremely elevated erythrocyte sedimentation rates (ESRs) in Legionnaires' disease.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2010
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Burke A CunhaInfectious Disease Division, Winthrop-University Hospital, 259 First Street, Mineola, Long Island, NY 11501, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza is a viral zoonosis of birds and mammals that has probably existed since antiquity. Attack rates of influenza are relatively high but mortality is relatively low. Influenza mortality is highest in the very young, the very old, and the immunosuppressed. Influenza has the potential for rapid spread and may involve large populations. This article examines the swine influenza (H1N1) strain of recent origin, and compares the microbiology, epidemiology, clinical presentation, differential, clinical, and laboratory diagnosis, therapy, complications, and prognosis with previous recorded outbreaks of avian and human seasonal influenza pneumonias.

Indexed as

Disease OutbreaksHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanPneumonia, BacterialPrognosis

Identifiers

PMID20171553
PMCPMC7127233

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.